Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
Tradeoff-Aware Territory Design: A Multi-Objective Decision System for Enterprise Customer-to-Seller Allocation
arXiv:2610.31701v1 Announce Type: new Abstract: Enterprise customer journeys are shaped not only by product experiences and marketing, but also by…
How Ground Truth Shapes Retrieval Scores: Evidence-Aware Evaluation of a Retrieval-Augmented Generation System for Breast Lesions
arXiv:2610.31606v2 Announce Type: replace-cross Abstract: Purpose: To describe an evidence-aware retrieval evaluation protocol for a clinical retrieval-augmented generation (RAG) system…
Analysing Austrian Parliamentary Speeches by Predicting Party Affiliations
arXiv:2610.32515v1 Announce Type: cross Abstract: This paper examines speech characteristics of the Austrian National Council members (CMs). We introduce analysis…
MusicTwins: Training Audio-Language Models to Listen like Their Persona
arXiv:2610.32495v1 Announce Type: cross Abstract: People differ in how they perceive music, what associations they make with it, what they…
Mostly Reading: What Open-Book Scores Measure in Document-Level LoRA Adapters
arXiv:2610.31017v2 Announce Type: replace-cross Abstract: Single-document LoRA adapters have been proposed as units of knowledge to be merged and retrieved;…
A Small Model Asks Better: Fine-Tuning Query Clarification for Retrieval-Augmented Generation
arXiv:2610.28686v1 Announce Type: new Abstract: Query clarification is essential for retrieval-augmented generation (RAG) systems that face ambiguous user queries. We…
CountVideoBench: A Benchmark to Evaluate Prediction Biases on the Object Counting task by Video-Language Models
arXiv:2610.28356v2 Announce Type: replace-cross Abstract: Object counting in videos remains a poorly characterized capability of multimodal large language models. Counting…
Robot Learning with Visual Predicted Force
arXiv:2610.04741v2 Announce Type: replace-cross Abstract: Force-aware manipulation typically relies on specialized force or tactile sensors. We show that force-aware manipulation…